Have you ever looked up to a starry night sky, seen a shooting star and made a wish? I am sure you have. Well, look again and look carefully. Are you sure it is a shooting star, or could it be ...

A team of Johns Hopkins researchers has developed a cutting-edge data science approach capable of matching observations of celestial objects taken across multiple telescope surveys, overcoming a ...

In today’s customer-centric market, addressing customer churn is no less than a battle. It requires in-depth data-led customer insights for proactive identification of churn risks, driving timely ...

Figure 1. Distribution of atomic rings extracted from TEM images: Smaller (red dots) atomic rings are dominant in Ge25 while Ge300 contains a higher proportion of larger (blue dots) atomic rings. 1.

Shivanku Misra is an AI expert, currently serving as Vice President overseeing enterprise advanced analytics and AI initiatives at McKesson. In the rapidly evolving field of data science, the success ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...